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Thank you for your amazing work with this package and the paper.
I have used the fect package on both R and STATA using the same dataset. When I specify method = "both" (while allowing cv to pick the best lambda or r) in either STATA or R, the model selection differs, on STATA it is picking up MC with lambda = 0 as the preferred model while on R its picking ife with r =3.
Can you please look into this matter? Which software's results should I trust more in this case?
Also a small request: Would it be possible to allow customization in the plot in R? In STATA we can choose the desired pre and post-treatment periods to be displayed on the plot, but it not exactly possible in R plot. We can choose proportion in R but it does not exactly work the same way as in choosing pre and off-periods. For example, I would want a plot with -14 pre-treatment periods and 6 post-treatment periods in R as well.
(This would be really helpful in finalizing my estimates if R's results are to be trusted in model selection).
Thank you in advance!
The text was updated successfully, but these errors were encountered:
On Wed, Jun 30, 2021 at 2:04 AM Ahmed Chaudhry ***@***.***> wrote:
Hello,
Thank you for your amazing work with this package and the paper.
I have used the fect package on both R and STATA using the same dataset.
When I specify method = "both" (while allowing cv to pick the best lambda
or r) in either STATA or R, the model selection differs, on STATA it is
picking up MC with lambda = 0 as the preferred model while on R its picking
ife with r =3.
Can you please look into this matter? Which software's results should I
trust more in this case?
Also a small request: Would it be possible to allow customization in the
plot in R? In STATA we can choose the desired pre and post-treatment
periods to be displayed on the plot, but it not exactly possible in R plot.
We can choose proportion in R but it does not exactly work the same way as
in choosing pre and off-periods. For example, I would want a plot with -14
pre-treatment periods and 6 post-treatment periods in R as well.
(This would be really helpful in finalizing my estimates if R's results
are to be trusted in model selection).
Thank you in advance!
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Hello,
Thank you for your amazing work with this package and the paper.
I have used the fect package on both R and STATA using the same dataset. When I specify method = "both" (while allowing cv to pick the best lambda or r) in either STATA or R, the model selection differs, on STATA it is picking up MC with lambda = 0 as the preferred model while on R its picking ife with r =3.
Can you please look into this matter? Which software's results should I trust more in this case?
Also a small request: Would it be possible to allow customization in the plot in R? In STATA we can choose the desired pre and post-treatment periods to be displayed on the plot, but it not exactly possible in R plot. We can choose proportion in R but it does not exactly work the same way as in choosing pre and off-periods. For example, I would want a plot with -14 pre-treatment periods and 6 post-treatment periods in R as well.
(This would be really helpful in finalizing my estimates if R's results are to be trusted in model selection).
Thank you in advance!
The text was updated successfully, but these errors were encountered: